ArticleEuropean radiology2017
Quantitative imaging of excised osteoarthritic cartilage using spectral CT.
Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 49 citations in OpenAlex.
- Assessment of CA4+ Impact on Mechanical Properties of Articular Cartilage.Materials (Basel, Switzerland) · 2025Article
- Chances and challenges of photon-counting CT in musculoskeletal imaging.Skeletal radiology · 2024Review
- Case Report: Dislocation of lateral menisci secondary to congenital lateral tibiofemoral cartilage thickening in both knees.Frontiers in surgery · 2024Article
- Photon-Counting CT Material Decomposition in Bone Imaging.Journal of imaging · 2023Article
- The technical development of photon-counting detector CT.European radiology · 2023Review
- Clinical applications of photon counting detector CT.European radiology · 2023Review
- Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography.Scientific reports · 2023Article
- Spectral Photon-Counting CT Imaging of Gold Nanoparticle Labelled Monocytes for Detection of Atherosclerosis: A Preclinical Study.Diagnostics (Basel, Switzerland) · 2023Article
- Photon Counting CT: Clinical Applications and Future Developments.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Spectral CT imaging of human osteoarthritic cartilage via quantitative assessment of glycosaminoglycan content using multiple contrast agents.APL bioengineering · 2021Article
- Medical imaging of tissue engineering and regenerative medicine constructs.Biomaterials science · 2021Review
- Multi-energy spectral photon-counting computed tomography (MARS) for detection of arthroplasty implant failure.Scientific reports · 2021Article
- Quantitative Knee Arthrography in a Large Animal Model of Osteoarthritis Using Photon-Counting Detector CT.Investigative radiology · 2020Article
- X-ray-based virtual slicing of TB-infected lungs.Scientific reports · 2019Article
- Beam profile assessment in spectral CT scanners.Journal of applied clinical medical physics · 2018Article
- A Hybrid 2D/3D User Interface for Radiological Diagnosis.Journal of digital imaging · 2018Article
- Spectral Photon-Counting Molecular Imaging for Quantification of Monoclonal Antibody-Conjugated Gold Nanoparticles Targeted to Lymphoma and Breast Cancer: AnContrast media & molecular imaging · 2018Article
- Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology.Radiographics : a review publication of the Radiological Society of North America, IncReview
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo quantify iodine uptake in articular cartilage as a marker of glycosaminoglycan (GAG) content using multi-energy spectral CT.
methodsWe incubated a 25-mm strip of excised osteoarthritic human tibial plateau in 50 % ionic iodine contrast and imaged it using a small-animal spectral scanner with a cadmium telluride photon-processing detector to quantify the iodine through the thickness of the articular cartilage. We imaged both spectroscopic phantoms and osteoarthritic tibial plateau samples. The iodine distribution as an inverse marker of GAG content was presented in the form of 2D and 3D images after applying a basis material decomposition technique to separate iodine in cartilage from bone. We compared this result with a histological section stained for GAG.
resultsThe iodine in cartilage could be distinguished from subchondral bone and quantified using multi-energy CT. The articular cartilage showed variation in iodine concentration throughout its thickness which appeared to be inversely related to GAG distribution observed in histological sections.
conclusionsMulti-energy CT can quantify ionic iodine contrast (as a marker of GAG content) within articular cartilage and distinguish it from bone by exploiting the energy-specific attenuation profiles of the associated materials. KEY POINTS: • Contrast-enhanced articular cartilage and subchondral bone can be distinguished using multi-energy CT. • Iodine as a marker of glycosaminoglycan content is quantifiable with multi-energy CT. • Multi-energy CT could track alterations in GAG content occurring in osteoarthritis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.